Evidence map›Paper›PMID 40760140›Full record

ArticleScientific reports2025

Factors associated with unfavourable treatment outcomes among patients with Multidrug-resistant Tuberculosis receiving outpatients care.

Maria Jose Vadakunnel, Vijayalakshmi Jawaharlal Nehru, Usharani Brammacharry, Venkateswari Ramachandra, Suganthi Palavesam, Anbazhagi Muthukumar, Balasundaram Revathi Mani, Gunavathy Pradhabane, S R Sriramkumar, Kanagavel Venkatchalam and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Maria Jose VadakunnelInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Vijayalakshmi Jawaharlal NehruInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Usharani BrammacharryInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Venkateswari RamachandraInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Suganthi PalavesamInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Anbazhagi MuthukumarDepartment of Environmental Science, Central University, Kasaragod, Kerala, India.
Balasundaram Revathi ManiDepartment of Biochemistry, Queen Mary's College, Madras, Tamil Nadu, India.
Gunavathy PradhabaneDepartment of Biotechnology, Indira Gandhi College of Arts and Science, Indira Nagar, Puducherry, India.
S R SriramkumarCentre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Nagar, Thandalam, Chennai, 602105, India.
Kanagavel VenkatchalamDepartment of Microbiology, State TB Training and Demonstration Centre, Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India.
Muthuraj MuthaiahDepartment of Microbiology, State TB Training and Demonstration Centre, Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India. drmuthurajm@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing treatment outcomes for drug-resistant tuberculosis is a major global priority for tuberculosis control programs. India has the highest number of Multidrug-resistant Tuberculosis cases worldwide, yet no longitudinal studies have assessed the factors affecting treatment outcomes in public sector conditions. This study aimed to evaluate factors associated with ineffective treatment outcomes in patients with Multidrug-resistant Tuberculosis receiving outpatient care under the National Tuberculosis Elimination Programme in Puducherry, India, from January 2020 to December 2023. We employed multivariate regression methods to calculate odds ratios with 95% confidence intervals to identify factors linked to unsuccessful treatment outcomes. Clinical data from patients with Multidrug-resistant Tuberculosis revealed an overall treatment success rate of 60.42%. The findings showed that patients undergoing retreatment were more likely to experience unsuccessful outcomes. Additionally, co-infection with HIV, as well as the use of alcohol or tobacco, increased the odds of treatment failure. Patients with heteroresistant patterns had 2.72 times higher odds of unsuccessful treatment outcomes compared to those with inferred and true-resistant patterns. Furthermore, patients living in rural areas typically experienced worse treatment outcomes than those in urban areas, with higher rates of loss to follow-up. Patients on longer treatment regimens were also more likely to be lost to follow-up compared to those on shorter regimens. Notably, true resistance due to rpoB gene mutations accounted for 65.9% (29 out of 44) of total deaths, with mutations at codon S450L contributing to 47.7% of these fatalities, a finding that has not been reported elsewhere. The study highlighted a strong association between heteroresistance in the rpoB gene and poor treatment outcomes. These results emphasize the need for detailed molecular-level studies to improve treatment outcomes by ensuring appropriate drug selection for MDR/RR Tuberculosis. Additionally, further research is necessary to determine the impact of heteroresistance on treatment outcomes in individual patients.

Indexed as

Ambulatory CareAntitubercular AgentsTuberculosis, Multidrug-ResistantAdultCoinfectionFemaleHIV InfectionsHumansIndiaMaleMiddle AgedMycobacterium tuberculosisOutpatientsTreatment FailureTreatment OutcomeYoung AdultAntitubercular AgentsHeteroresistantMultidrug-resistant tuberculosisMycobacterium tuberculosisRifampicinRpoB mutation

Identifiers

PMID40760140
PMCPMC12322265

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.